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Keywords: uncertainty quantification
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Proceedings Papers

Proc. ASME. IMECE2021, Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters, V013T14A031, November 1–5, 2021
Paper No: IMECE2021-72345
...Proceedings of the ASME 2021 International Mechanical Engineering Congress and Exposition IMECE2021 November 1-5, 2021, Virtual, Online IMECE2021-72345 PERFORMANCE OF ITERATIVE NETWORK UNCERTAINTY QUANTIFICATION FOR MULTICOMPONENT SYSTEM QUALIFICATION Edward Rojas Sandia National Laboratories...
Proceedings Papers

Proc. ASME. IMECE2020, Volume 2A: Advanced Manufacturing, V02AT02A041, November 16–19, 2020
Paper No: IMECE2020-23752
... of the strut members at each layer are spatially dependent and the KLE method was found to give a good representation of the random field. Keywords: Additive Manufacturing, lattice structures, uncertainty quantification, random field. 1. INTRODUCTION Lattice structures that consist of connected strut members...
Proceedings Papers

Proc. ASME. IMECE2019, Volume 6: Energy, V006T06A085, November 11–14, 2019
Paper No: IMECE2019-11811
... image velocimetry particle tracking velocimetry uncertainty quantification EXPERIMENTAL STUDY OF SURROGATE PARTICLE TRANSPORT AND DEPOSITION IN A SQUARE CHANNEL USING PARTICLE TRACKING TECHNIQUE Daniel Orea 1, Thien Nguyen, Rodolfo Vaghetto, N.K. Anand2, Yassin A. Hassan1 Texas A&M University...
Proceedings Papers

Proc. ASME. IMECE2019, Volume 6: Energy, V006T06A057, November 11–14, 2019
Paper No: IMECE2019-11227
... method is applied to obtain the model uncertainty, which means the degradation uncertainty in this study. This approach can realize the uncertainty quantification and the result can be adopted to judge and correct the characteristic map in the simulation model. A case study is implemented...
Proceedings Papers

Proc. ASME. IMECE2019, Volume 13: Safety Engineering, Risk, and Reliability Analysis, V013T13A022, November 11–14, 2019
Paper No: IMECE2019-11872
...% coefficient intervals of the time-averaged wind speed deficit. The results obtained for the near and far wake regions introduce fundamentals in estimate the uncertainty in wind speed deficit of a single wind turbine wake and concludes that a systematic uncertainty quantification (UQ) framework for wind...
Proceedings Papers

Proc. ASME. IMECE2019, Volume 13: Safety Engineering, Risk, and Reliability Analysis, V013T13A021, November 11–14, 2019
Paper No: IMECE2019-11862
... highly undermine the OWT structural reliability. In this scenario, in order to obtain more accurate results, rigorous probabilistic analyses are necessary. In this study, a probabilistic analysis of the dynamic response of a monopile OWT is conducted by using a systematic uncertainty quantification (UQ...
Proceedings Papers

Proc. ASME. IMECE2012, Volume 9: Micro- and Nano-Systems Engineering and Packaging, Parts A and B, 1141-1153, November 9–15, 2012
Paper No: IMECE2012-89261
... heat transfer coefficient while minimizing pressure drop for fixed input conditions are identified for a manifold microchannel heat sink. A comparison between the deterministic and probabilistic optimization results is also presented. manifold microchannel uncertainty quantification...
Proceedings Papers

Proc. ASME. IMECE2011, Volume 9: Transportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability, 729-736, November 11–17, 2011
Paper No: IMECE2011-62694
... to actuator and terminal condition variance constraints—for all possible systems within the probability space. Motion Planning Trajectory Planning Optimization Nonlinear Programming Multibody Dynamics Uncertainty Quantification Under-Actuated Dynamical Systems Proceedings of the ASME 2011...
Proceedings Papers

Proc. ASME. IMECE2011, Volume 9: Transportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability, 737-744, November 11–17, 2011
Paper No: IMECE2011-62789
... Virginia Tech Blacksburg, VA 24061 Keywords: Design Optimization, Dynamic Optimization, Nonlinear Programming, Multi-Objective Optimization, Multibody Dynamics, Uncertainty Quantification, Generalized Polynomial Chaos Abstract This work presents a novel optimal design framework that treats uncertain...